Although I agree with the top post that reproducibility of results is important I think software engineering principles are severely lacking in many data scientists. I attempted to deploy other peoples models as a research assistant and the lack of understanding of code style conventions was a big issue. Even now when I go through some new ML system on github many of them have code style issues.

As an aside in academia to share other peoples results you basically need to create a virtualbox image to make it reproducible. I think docker would work but it may be too complicated.